Toward responsible AI for the next billion users

By Nithya Sambasivan, Jess Holbrook. 2018

52 citations recorded by the source corpus.

This is a forum for perspectives on designing for communities marginalized by economics, social status, infrastructure, or policies. It will discuss design methods, theoretical and conceptual contributions, and methodological engagements for underserved communities. --- Nithya Sambasivan, Editor

Subfields: Media Technology, Safety, Robustness & Interpretability

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Media Technology

1. Lisa Anne Hendricks
2. Nithya Sambasivan
3. Zachary Kenton

In Safety, Robustness & Interpretability

1. Iason Gabriel
2. Po-Sen Huang
3. William S. Isaac
4. John F. J. Mellor
5. Borja Balle
6. Geoffrey Irving
7. Myra Cheng
8. Lisa Anne Hendricks

Citations in the corpus

• Ethical and social risks of harm from Language Models (2021, background): “(Sambasivan and Holbrook, 2018).”
• Human-Centered AI (2021, background): “At present, researchers are exploring the work of oversight and related issues, including regulatory policy and data ownership, through subfields such as responsible AI [20], [21] , algorithmic fairness [22] , ethical AI [23] , and explainable AI [24] .”
• “Everyone wants to do the model work, not the data work”: Data Cascades in High-Stakes AI (2021, background): “, [20, 109], and complex partner and government relations e.”
• "Happy and Assured that life will be easy 10years from now.": Perceptions of Artificial Intelligence in 8 Countries (2019, background): “Such work resonates with calls to better integrate developing country considerations in the discussion and development of AI [52].”